Mayo Kodani

499 total citations
9 papers, 201 citations indexed

About

Mayo Kodani is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mayo Kodani has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Reproductive Medicine, 5 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mayo Kodani's work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers) and Hormonal and reproductive studies (1 paper). Mayo Kodani is often cited by papers focused on Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers) and Hormonal and reproductive studies (1 paper). Mayo Kodani collaborates with scholars based in Japan, United States and Austria. Mayo Kodani's co-authors include Masahito Ikawa, Chihiro Emori, Yoshitaka Fujihara, Taichi Noda, Daiji Kiyozumi, Kentaro Shimada, Martin M. Matzuk, Manabu Ozawa, Takafumi Matsumura and Gabriella Miklóssy and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mayo Kodani

9 papers receiving 196 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mayo Kodani Japan	7	114	83	74	64	15	9	201
Sayon Basu India	9	101 0.9×	60 0.7×	85 1.1×	72 1.1×	26 1.7×	10	203
Thassadite Dirami France	6	141 1.2×	115 1.4×	113 1.5×	94 1.5×	13 0.9×	7	284
Rubén Gutiérrez‐Sagal Mexico	11	141 1.2×	71 0.9×	144 1.9×	99 1.5×	32 2.1×	28	312
Bikem Soygur United States	8	40 0.4×	65 0.8×	109 1.5×	45 0.7×	27 1.8×	18	237
Hannah Demond United Kingdom	11	88 0.8×	192 2.3×	265 3.6×	103 1.6×	21 1.4×	14	419
Yunna Ning China	8	118 1.0×	109 1.3×	80 1.1×	45 0.7×	18 1.2×	16	228
Antonio Alvau United States	7	257 2.3×	231 2.8×	108 1.5×	49 0.8×	27 1.8×	7	369
Pawan Puri United States	10	148 1.3×	104 1.3×	206 2.8×	94 1.5×	41 2.7×	19	351
Yarui Du China	5	54 0.5×	56 0.7×	174 2.4×	71 1.1×	17 1.1×	12	258
Maoyong Fu China	7	143 1.3×	222 2.7×	103 1.4×	55 0.9×	48 3.2×	14	304

Countries citing papers authored by Mayo Kodani

Since Specialization

Citations

This map shows the geographic impact of Mayo Kodani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mayo Kodani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayo Kodani more than expected).

Fields of papers citing papers by Mayo Kodani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayo Kodani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mayo Kodani. The network helps show where Mayo Kodani may publish in the future.

Co-authorship network of co-authors of Mayo Kodani

This figure shows the co-authorship network connecting the top 25 collaborators of Mayo Kodani. A scholar is included among the top collaborators of Mayo Kodani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayo Kodani. Mayo Kodani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Endo, Tsutomu, Kiyonori Kobayashi, Takafumi Matsumura, et al.. (2024). Multiple ageing effects on testicular/epididymal germ cells lead to decreased male fertility in mice. Communications Biology. 7(1). 16–16. 18 indexed citations

2.

Emori, Chihiro, Benjamin Wiseman, Dirk Fahrenkamp, et al.. (2024). ZP2 cleavage blocks polyspermy by modulating the architecture of the egg coat. Cell. 187(6). 1440–1459.e24. 18 indexed citations

3.

Kiyozumi, Daiji, Kentaro Shimada, Chihiro Emori, et al.. (2023). A small secreted protein NICOL regulates lumicrine-mediated sperm maturation and male fertility. Nature Communications. 14(1). 2354–2354. 18 indexed citations

4.

Emori, Chihiro, et al.. (2023). PABPN1L is required for maternal mRNA degradation after meiosis resumption. Journal of Reproduction and Development. 70(1). 10–17. 2 indexed citations

5.

Noda, Taichi, Andreas Blaha, Yoshitaka Fujihara, et al.. (2022). Sperm membrane proteins DCST1 and DCST2 are required for sperm-egg interaction in mice and fish. Communications Biology. 5(1). 332–332. 26 indexed citations

6.

Kiyozumi, Daiji, Taichi Noda, Ryo Yamaguchi, et al.. (2020). NELL2-mediated lumicrine signaling through OVCH2 is required for male fertility. Science. 368(6495). 1132–1135. 77 indexed citations

7.

Kodani, Mayo, Chihiro Emori, Daiji Kiyozumi, et al.. (2020). CRISPR/Cas9-Mediated Genome Editing Reveals Oosp Family Genes are Dispensable for Female Fertility in Mice. Cells. 9(4). 821–821. 11 indexed citations

8.

Kiyozumi, Daiji, Masashi Mori, Mayo Kodani, & Masahito Ikawa. (2019). Genetic mutation of <i>Frem3</i> does not causeFraser syndrome in mice. EXPERIMENTAL ANIMALS. 69(1). 104–109. 3 indexed citations

9.

Kodani, Mayo, et al.. (1966). The in vitro cultivation of mammalian Sertoli cells.. Proceedings of the National Academy of Sciences. 56(4). 1200–1206. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact